Insider Threat Detection Thesis

I need a complete master’s thesis (70–80 pages) on “Developing Methods for Detecting Insider Threats in Corporate Information Systems through Behavioral Analytics.” The work must be entirely original, rigorously referenced, and able to withstand both standard plagiarism checks and the most common AI-content detectors. Scope and focus – Centre the discussion on real-world case studies of insider threats, analysing how behavioural data was collected, processed, and interpreted to flag malicious activity. – Ground every section in up-to-date academic research—peer-reviewed journals, conference proceedings, and scholarly books. – Once we start, I’ll share my university’s detailed guideline; please follow that customised structure precisely rather than a generic template. Key expectations • 70–80 pages of polished academic writing (excluding references and appendices). • A coherent narrative that moves from literature review, through methodology and case analysis, to findings and recommendations. • Proper citation throughout and a full reference list formatted to the style specified in my guideline. • Zero plagiarism, no detectable AI-generated passages, and a clear, professional tone consistent with postgraduate work. I will be available for clarifications, interim reviews, and feedback on each major section to ensure the final document aligns with the formal requirements.